{"id":"W4211142584","doi":"10.1109/cns53000.2021.9705049","title":"Securing APIs and Chaos Engineering","year":2021,"lang":"en","type":"article","venue":"","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer security; Computer science; Security through obscurity; Security engineering; Security testing; Cloud computing security; Security service; Authentication (law); Computer security model; CHAOS (operating system); Security information and event management; Cloud computing; Software security assurance; Information security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003618333,0.0007198827,0.0004582406,0.001484729,0.002136554,0.005988247,0.001112906,0.002371819,0.003543383],"category_scores_gemma":[0.01097609,0.0006804863,0.001024175,0.0006987673,0.008954109,0.01301511,0.005165846,0.004798056,0.001312785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590673,"about_ca_system_score_gemma":0.002368346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001854429,"about_ca_topic_score_gemma":0.000884249,"domain_scores_codex":[0.9967756,0.0009113814,0.0002139919,0.0005102765,0.001185656,0.0004031954],"domain_scores_gemma":[0.9912936,0.003454506,0.0008770851,0.002733216,0.001239413,0.0004022488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004385962,0.00005499708,0.001559189,0.0001792326,0.00003408245,0.0002840002,0.001435394,0.00652204,0.003855764,0.9337885,0.003975809,0.0482671],"study_design_scores_gemma":[0.00002706774,0.0001233848,0.000903189,0.000328357,0.00003993019,0.0005963353,0.0007888637,0.03274396,0.008598706,0.8322167,0.1235296,0.0001038681],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04762977,0.006458831,0.8277517,0.03189196,0.001118135,0.0002498285,0.0001607674,0.002575046,0.08216396],"genre_scores_gemma":[0.7548112,0.007373927,0.2038192,0.004370628,0.0005564226,0.0004961531,0.0002138122,0.0007300007,0.02762865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005988247,"threshold_uncertainty_score":0.01913577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005175417743820499,"score_gpt":0.1854306198884628,"score_spread":0.1802552021446423,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}